This job has closed.

Meta · 1 year ago

Research Scientist Intern, AI and Machine Learning (PhD)

Redmond, WA

Internship

Onsite

Intern

$7,800/mo - $11,293/mo

2+ years exp

Meta's mission is to build the future of human connection and the technology that makes it possible. The Research Scientist Intern will assist in developing next-generation assistance systems for AR/VR, focusing on embodied AI and related learning methods.

Computer Software

Comp. & Benefits

No H1B

Responsibilities

Plan and execute cutting-edge research on developing novel embodied AI algorithms that can learn AR assistance policies in long-tailed and complex interaction tasks prevalent in everyday life

Leverage state-of-the-art (SOTA) embodied AI simulators and RL/DRL, neuro-symbolic, AI planning, robotics or stochastic programming methods to train and test policy models

Work towards taking on big problems and deliver clear, compelling, and creative solutions to solve them at scale. This is an exciting opportunity to conduct SOTA research while collaborating with other researchers, and engineers to develop, prototype, and test different AI/ML models at-scale for real-world interactive applications

Successful internships will also lead to publishable outcomes in top-tier journals or at leading international conferences

Qualification

Embodied AIReinforcement LearningPythonMachine Learning LibrariesRepresentation LearningMultimodal LearningVideo UnderstandingSelf-supervised LearningTransfer LearningFew-shot LearningZero-shot LearningOnline LearningCross-group Collaboration

Required

Currently has, or is in the process of obtaining, a PhD in machine learning, artificial intelligence (AI), robotics, algorithms, computational mathematics or a related fields

Proven research skills involving defining problems, exploring solutions, and analyzing and presenting results

2+ years of experience in python and in using machine learning libraries (numpy, scikit-learn, scipy, pandas, matplotlib, tensorflow, pytorch)

Deep understanding of at least one of the following areas (Transfer/ few-shot/ zero-shot/ continual/ online learning, Self-supervised learning, or Multi- or cross-modal learning, Reinforcement learning, Planning)

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Interpersonal experience: cross-group and cross-culture collaboration

Preferred

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ICCV, ICML, NeurIPS, IJCAI, AAAI, AAMAS, EECV, ICLR, ICRA, IROS, RSS, CoRL etc)

Experience working and communicating cross functionally in a team environment

Intent to return to degree-program after the completion of the internship/co-op

Availability for minimum 16 consecutive week internship